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How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage
GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI...
GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI models has been doubling approximately every five months, while the size of datasets used to train LLMs has been doubling approximately every eight months. As computation and data scale together, moving data efficiently from storage becomes…
Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes
AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting...
AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting with frontier-class architectures that demand hundreds of gigabytes of memory. NVIDIA DGX Spark was built to bring AI development to the desk, and now you’ll be able to link even more Spark nodes together. At GTC Berlin…
Hugging Face CEO warns that Netflix’s OpenAI hack documentary isn’t accurate
SpaceX’s AI business is beating expectations
Best AI Pentesting Tools for Industrial Web Applications
Toray develops polyester-nylon fiber made with ‘at least 93 percent recycled material’
Skyports deploys automated BVLOS drones for Australia’s HumeLink power lines project
MiniMax M3.1 Flash shows China's AI price race has no floor in sight

MiniMax's M3.1 Flash jumps 13 points over its predecessor to 42 on the Artificial Analysis Intelligence Index, at half the cost. It also hits 73.7 percent on the DeepSWE v1.1 coding benchmark for under $0.30 per task, matching Deepseek V4.1 Flash 1017 on both performance and price.
The article MiniMax M3.1 Flash shows China's AI price race has no floor in sight appeared first on The Decoder.
Both Charts Are Right. So Why Do They Disagree?
The statistical paradox that shows how combining data can reverse the story.
The post Both Charts Are Right. So Why Do They Disagree? appeared first on Towards Data Science.
I Built a Claim-Checker for Writing With Codex. It Passed a Wrong Claim.
The tool found the right passage but missed the mismatch, and the audit shows where rule-based checks break down.
The post I Built a Claim-Checker for Writing With Codex. It Passed a Wrong Claim. appeared first on Towards Data Science.
Josh Baylin Starphone: Elon’s AI Phone Supplier List Revealed
NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform
NVIDIA is making the full NVIDIA Run:ai platform available as open source software, giving customers, developers, and ecosystem partners access to...
NVIDIA is making the full NVIDIA Run:ai platform available as open source software, giving customers, developers, and ecosystem partners access to production-grade AI workload and GPU orchestration capabilities. This release expands the NVIDIA DSX AI Factory Platform by establishing NVIDIA Run:ai as an open foundation that enables the broader ecosystem to bring differentiated solutions to market…
SpaceXSI bundles X Premium, Grok, and Cursor into one subscription
Amex introduces a framework to prevent AI agents from making unauthorized purchases
Stäubli robots and AI inspect 100,000 peaches an hour at Greek processing plant
TrinaTracker launches robots to automate solar farm construction and maintenance
Convergix expands Michigan operations with new facility in Holland
Sereact robots automate Zalando returns processing at logistics facilities in Germany and Poland
Validate AI Factory Changes with Digital Twins and AI Agents
AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration...
AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration services, security controls, and a rapidly changing software stack. Deploying this infrastructure effectively is a challenge. But so is being able to validate that the infrastructure, software, and policies work together for the workloads the…